Estimation of the common location parameter   of several distributions when their common scale parameter is proportional to   with known coefficient of variation by ranked set sampling

NK Sajeevkumar; RS Priya

doi:10.22271/maths.2025.v10.i10a.2178

2025, Vol. 10, Issue 10, Part A

Estimation of the common location parameter of several distributions when their common scale parameter is proportional to with known coefficient of variation by ranked set sampling

Author(s): NK Sajeevkumar and RS Priya

Abstract: This article describes a technique that uses ranked set sampling (RSS) of independent but not identically distributed (inid) random variables to estimate the common location parameter µ of several distributions with a common scale parameter that is proportional to µ. For example, we use RSS to estimate the common mean of double exponential and normal distributions with known coefficients of variation. A comparison of the suggested estimator's efficiency utilizing RSS and order statistics of inid random variables is also conducted.

DOI: 10.22271/maths.2025.v10.i10a.2178

Pages: 38-45 | Views: 14 | Downloads: 3

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International Journal of Statistics and Applied Mathematics

How to cite this article:

NK Sajeevkumar, RS Priya. Estimation of the common location parameter of several distributions when their common scale parameter is proportional to with known coefficient of variation by ranked set sampling. Int J Stat Appl Math 2025;10(10):38-45. DOI: 10.22271/maths.2025.v10.i10a.2178

2025, Vol. 10, Issue 10, Part A

Estimation of the common location parameter of several distributions when their common scale parameter is proportional to with known coefficient of variation by ranked set sampling

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